Out of Two Million People, Most Prefer That a Self-Driving Car Kill the Elderly

Photo credit: Moral Machine
Photo credit: Moral Machine

From Popular Mechanics

The "Trolley Problem" is a famous ethical dilemma about killing one person to save others. A group of MIT researchers recently applied it to the world of self-driving cars, posing a series of questions to more than 2 million online participants from more than 200 countries. The results reveal some regional preferences, but the overall consensus was clear: In the right situations, animals, the elderly, and small groups of people are in a lot of trouble.

Invented by British philosopher Phillippa Foot in 1967, the Trolley Problem uses hypothetical scenarios within extreme environments to test utilitarian and Aristotlean ethics. The most common version is of a driver of a trolley, forced to decide between staying on his track and killing five people, or switching tracks and killing only one. For this study, researchers at MIT's Moral Machine created 13 scenarios involving self-driving cars in an urban setting. Although the self driving-industry has debated the issue for years, some say too many years, the new study advances the debate by offering up something that computers can easily understand: big data.

Photo credit: MIT Moral Machine
Photo credit: MIT Moral Machine

Edmond Awad, a postdoc at MIT Media Lab and lead author of the paper, says that the researchers "found that there are three elements that people seem to approve of the most:"

  • sparing the lives of humans over the lives of animals;

  • sparing the lives of many people rather than a few; and

  • sparing the lives of young people rather than old.

To researchers, the popularity of the Moral Machine shows that people across the globe are eager to participate in the debate around self-driving cars and want to see algorithms that reflect their personal beliefs.

"On the one hand, we wanted to provide a simple way for the public to engage in an important societal discussion," says Iyad Rahwan, an associate professor of media arts and sciences at the Media Lab who worked on the study. "On the other hand, we wanted to collect data to identify which factors people think are important for autonomous cars to use in resolving ethical tradeoffs."

It's a discussion that Awad hopes continues. "What we have tried to do in this project," he says, "and what I would hope becomes more common, is to create public engagement in these sorts of decisions."

Source: MIT

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